mirror of
https://github.com/PhotonVision/photonvision
synced 2026-06-20 00:51:41 +00:00
Use chessboard squares (vs interior corners); fix resolution selector bug (#139)
* Change chessboard size to be squares not interior corners This reduces ambiguity * Force users to select resolution This forces the correct video mode index to be selected. Otherwise the 0th camera videomode index will be used, as it's zero-inited. This is undesirable. * Make target model an enum This will allow the UI to remember the currently selected target.
This commit is contained in:
@@ -33,6 +33,7 @@ import org.photonvision.common.networking.NetworkManager;
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import org.photonvision.common.util.TestUtils;
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import org.photonvision.server.Server;
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import org.photonvision.vision.camera.FileVisionSource;
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import org.photonvision.vision.opencv.ContourGroupingMode;
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import org.photonvision.vision.pipeline.CVPipelineSettings;
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import org.photonvision.vision.pipeline.ReflectivePipelineSettings;
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import org.photonvision.vision.processes.VisionModule;
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@@ -93,7 +94,9 @@ public class Main {
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var pipeline2019 = new ReflectivePipelineSettings();
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pipeline2019.pipelineNickname = "CargoShip";
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pipeline2019.targetModel = TargetModel.get2019Target();
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pipeline2019.targetModel = TargetModel.k2019DualTarget;
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pipeline2019.outputShowMultipleTargets = true;
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pipeline2019.contourGroupingMode = ContourGroupingMode.Dual;
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var psList2019 = new ArrayList<CVPipelineSettings>();
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psList2019.add(pipeline2019);
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@@ -107,7 +110,7 @@ public class Main {
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var pipeline2020 = new ReflectivePipelineSettings();
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pipeline2020.pipelineNickname = "OuterPort";
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pipeline2020.targetModel = TargetModel.get2020Target();
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pipeline2020.targetModel = TargetModel.k2020HighGoalOuter;
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camConf2020.calibrations.add(TestUtils.get2020LifeCamCoeffs(true));
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var psList2020 = new ArrayList<CVPipelineSettings>();
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@@ -17,15 +17,21 @@
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package org.photonvision.vision.pipe.impl;
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import java.util.Objects;
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import org.apache.commons.lang3.tuple.Triple;
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import org.opencv.calib3d.Calib3d;
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import org.opencv.core.*;
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import org.opencv.imgproc.Imgproc;
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import org.photonvision.common.logging.LogGroup;
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import org.photonvision.common.logging.Logger;
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import org.photonvision.vision.pipe.CVPipe;
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import org.photonvision.vision.pipeline.UICalibrationData;
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public class FindBoardCornersPipe
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extends CVPipe<Mat, Triple<Size, Mat, Mat>, FindBoardCornersPipe.FindCornersPipeParams> {
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private static final Logger logger =
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new Logger(FindBoardCornersPipe.class, LogGroup.VisionModule);
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MatOfPoint3f objectPoints = new MatOfPoint3f();
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Size imageSize;
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@@ -38,25 +44,22 @@ public class FindBoardCornersPipe
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private final Size zeroZone = new Size(-1, -1);
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private final TermCriteria criteria = new TermCriteria(3, 30, 0.001);
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private boolean objectPointsCreated = false;
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@Override
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public void setParams(FindCornersPipeParams params) {
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super.setParams(params);
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if (new Size(params.boardWidth, params.boardHeight).equals(patternSize)) return;
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objectPointsCreated = false;
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}
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private FindCornersPipeParams lastParams = null;
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public void createObjectPoints() {
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if (objectPointsCreated) return; // TODO reinstantiate on settings change
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if (this.lastParams != null && this.lastParams.equals(this.params)) return;
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this.lastParams = this.params;
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/*If using a chessboard, then the pattern size if the inner corners of the board. For example, the pattern size of a 9x9 chessboard would be 8x8
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If using a dot board, then the pattern size width is the sum of the bottom 2 rows and the height is the left or right most column
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For example, a 5x4 dot board would have a pattern size of 11x4
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We subtract 1 for chessboard because the UI prompts users for the number of squares, not the
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number of corners.
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* */
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this.patternSize = new Size(params.boardWidth, params.boardHeight);
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this.patternSize =
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params.type == UICalibrationData.BoardType.CHESSBOARD
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? new Size(params.boardWidth - 1, params.boardHeight - 1)
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: new Size(params.boardWidth, params.boardHeight);
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// Chessboard and dot board have different 3D points to project as a dot board has alternating
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// dots per column
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@@ -81,9 +84,8 @@ public class FindBoardCornersPipe
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}
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}
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} else {
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// TOOD log
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logger.error("Can't create pattern for unknown board type " + params.type);
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}
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objectPointsCreated = true;
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}
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/**
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@@ -162,5 +164,21 @@ public class FindBoardCornersPipe
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this.type = type;
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this.gridSize = gridSize; // mm
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}
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@Override
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public boolean equals(Object o) {
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if (this == o) return true;
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if (o == null || getClass() != o.getClass()) return false;
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FindCornersPipeParams that = (FindCornersPipeParams) o;
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return boardHeight == that.boardHeight
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&& boardWidth == that.boardWidth
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&& Double.compare(that.gridSize, gridSize) == 0
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&& type == that.type;
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}
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@Override
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public int hashCode() {
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return Objects.hash(boardHeight, boardWidth, type, gridSize);
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}
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}
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}
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@@ -21,8 +21,8 @@ import edu.wpi.first.wpilibj.util.Units;
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import org.opencv.core.Size;
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public class Calibration3dPipelineSettings extends AdvancedPipelineSettings {
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public int boardHeight = 7;
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public int boardWidth = 7;
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public int boardHeight = 8;
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public int boardWidth = 8;
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public UICalibrationData.BoardType boardType = UICalibrationData.BoardType.CHESSBOARD;
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public double gridSize = Units.inchesToMeters(1.0);
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@@ -34,7 +34,7 @@ public class ReflectivePipelineSettings extends AdvancedPipelineSettings {
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// 3d settings
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public boolean solvePNPEnabled = false;
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public TargetModel targetModel = TargetModel.get2020Target();
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public TargetModel targetModel = TargetModel.k2020HighGoalOuter;
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// Corner detection settings
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public CornerDetectionPipe.DetectionStrategy cornerDetectionStrategy =
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@@ -23,21 +23,71 @@ import com.fasterxml.jackson.annotation.JsonProperty;
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import edu.wpi.first.wpilibj.util.Units;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Objects;
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import org.opencv.core.MatOfPoint3f;
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import org.opencv.core.Point3;
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import org.photonvision.vision.opencv.Releasable;
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public class TargetModel implements Releasable {
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public enum TargetModel implements Releasable {
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k2020HighGoalOuter(
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List.of(
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new Point3(Units.inchesToMeters(-19.625), 0, 0),
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new Point3(Units.inchesToMeters(-9.819867), Units.inchesToMeters(-17), 0),
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new Point3(Units.inchesToMeters(9.819867), Units.inchesToMeters(-17), 0),
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new Point3(Units.inchesToMeters(19.625), 0, 0)),
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Units.inchesToMeters(12)),
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k2020HighGoalInner(
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List.of(
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new Point3(Units.inchesToMeters(-19.625), 0, Units.inchesToMeters(2d * 12d + 5.25)),
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new Point3(
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Units.inchesToMeters(-9.819867),
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Units.inchesToMeters(-17),
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Units.inchesToMeters(2d * 12d + 5.25)),
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new Point3(
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Units.inchesToMeters(9.819867),
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Units.inchesToMeters(-17),
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Units.inchesToMeters(2d * 12d + 5.25)),
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new Point3(Units.inchesToMeters(19.625), 0, Units.inchesToMeters(2d * 12d + 5.25))),
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Units.inchesToMeters(12)),
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k2019DualTarget(
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List.of(
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new Point3(Units.inchesToMeters(-5.936), Units.inchesToMeters(2.662), 0),
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new Point3(Units.inchesToMeters(-7.313), Units.inchesToMeters(-2.662), 0),
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new Point3(Units.inchesToMeters(7.313), Units.inchesToMeters(-2.662), 0),
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new Point3(Units.inchesToMeters(5.936), Units.inchesToMeters(2.662), 0)),
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0.1),
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kCircularPowerCell7in(
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List.of(
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new Point3(
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-Units.inchesToMeters(7) / 2,
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-Units.inchesToMeters(7) / 2,
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-Units.inchesToMeters(7) / 2),
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new Point3(
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-Units.inchesToMeters(7) / 2,
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Units.inchesToMeters(7) / 2,
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-Units.inchesToMeters(7) / 2),
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new Point3(
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Units.inchesToMeters(7) / 2,
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Units.inchesToMeters(7) / 2,
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-Units.inchesToMeters(7) / 2),
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new Point3(
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Units.inchesToMeters(7) / 2,
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-Units.inchesToMeters(7) / 2,
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-Units.inchesToMeters(7) / 2)),
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0);
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@JsonIgnore private final MatOfPoint3f realWorldTargetCoordinates;
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@JsonIgnore private final MatOfPoint3f visualizationBoxBottom = new MatOfPoint3f();
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@JsonIgnore private final MatOfPoint3f visualizationBoxTop = new MatOfPoint3f();
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@JsonIgnore private MatOfPoint3f realWorldTargetCoordinates;
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@JsonIgnore private MatOfPoint3f visualizationBoxBottom = new MatOfPoint3f();
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@JsonIgnore private MatOfPoint3f visualizationBoxTop = new MatOfPoint3f();
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public final List<Point3> realWorldCoordinatesArray;
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public final double boxHeight;
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@JsonProperty("realWorldCoordinatesArray")
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private List<Point3> realWorldCoordinatesArray;
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public TargetModel(MatOfPoint3f realWorldTargetCoordinates, double boxHeight) {
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@JsonProperty("boxHeight")
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private double boxHeight;
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TargetModel() {}
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TargetModel(MatOfPoint3f realWorldTargetCoordinates, double boxHeight) {
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this.realWorldTargetCoordinates = realWorldTargetCoordinates;
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this.realWorldCoordinatesArray = realWorldTargetCoordinates.toList();
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this.boxHeight = boxHeight;
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@@ -53,12 +103,28 @@ public class TargetModel implements Releasable {
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}
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@JsonCreator
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public TargetModel(
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TargetModel(
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@JsonProperty(value = "realWorldCoordinatesArray") List<Point3> points,
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@JsonProperty(value = "boxHeight") double boxHeight) {
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this(listToMat(points), boxHeight);
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}
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public List<Point3> getRealWorldCoordinatesArray() {
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return this.realWorldCoordinatesArray;
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}
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public double getBoxHeight() {
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return boxHeight;
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}
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public void setRealWorldCoordinatesArray(List<Point3> realWorldCoordinatesArray) {
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this.realWorldCoordinatesArray = realWorldCoordinatesArray;
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}
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public void setBoxHeight(double boxHeight) {
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this.boxHeight = boxHeight;
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}
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private static MatOfPoint3f listToMat(List<Point3> points) {
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var mat = new MatOfPoint3f();
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mat.fromList(points);
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@@ -77,58 +143,15 @@ public class TargetModel implements Releasable {
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return visualizationBoxTop;
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}
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public static TargetModel get2020Target() {
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return get2020Target(0);
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}
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public static TargetModel get2020TargetInnerPort() {
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// Per the game manual, the inner port is 2ft 5.25in behind the outer port
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return get2020Target(Units.inchesToMeters(2d * 12d + 5.25));
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}
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public static TargetModel get2020Target(double offsetMeters) {
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var corners =
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List.of(
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new Point3(Units.inchesToMeters(-19.625), 0, offsetMeters),
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new Point3(Units.inchesToMeters(-9.819867), Units.inchesToMeters(-17), offsetMeters),
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new Point3(Units.inchesToMeters(9.819867), Units.inchesToMeters(-17), offsetMeters),
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new Point3(Units.inchesToMeters(19.625), 0, offsetMeters));
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return new TargetModel(corners, Units.inchesToMeters(12));
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}
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public static TargetModel get2019Target() {
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var corners =
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List.of(
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new Point3(Units.inchesToMeters(-5.936), Units.inchesToMeters(2.662), 0),
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new Point3(Units.inchesToMeters(-7.313), Units.inchesToMeters(-2.662), 0),
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new Point3(Units.inchesToMeters(7.313), Units.inchesToMeters(-2.662), 0),
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new Point3(Units.inchesToMeters(5.936), Units.inchesToMeters(2.662), 0));
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return new TargetModel(corners, 0.1);
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}
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public static TargetModel getCircleTarget(double radius) {
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var corners =
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List.of(
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new Point3(-radius / 2, -radius / 2, -radius / 2),
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new Point3(-radius / 2, radius / 2, -radius / 2),
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new Point3(radius / 2, radius / 2, -radius / 2),
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new Point3(radius / 2, -radius / 2, -radius / 2));
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return new TargetModel(corners, 0);
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}
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@Override
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public boolean equals(Object o) {
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if (this == o) return true;
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if (!(o instanceof TargetModel)) return false;
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TargetModel that = (TargetModel) o;
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return Double.compare(that.boxHeight, boxHeight) == 0
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&& Objects.equals(realWorldCoordinatesArray, that.realWorldCoordinatesArray);
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}
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@Override
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public int hashCode() {
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return Objects.hash(realWorldCoordinatesArray, boxHeight);
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}
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// public static TargetModel getCircleTarget(double Units.inchesToMeters(7)) {
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// var corners =
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// List.of(
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// new Point3(-Units.inchesToMeters(7) / 2, -radius / 2, -radius / 2),
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// new Point3(-Units.inchesToMeters(7) / 2, radius / 2, -radius / 2),
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// new Point3(Units.inchesToMeters(7) / 2, radius / 2, -radius / 2),
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// new Point3(Units.inchesToMeters(7) / 2, -radius / 2, -radius / 2));
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// return new TargetModel(corners, 0);
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// }
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@Override
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public void release() {
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